AI Model Catalogue

This instruction-tuned 32-billion parameter language model excels at following complex directives and generating coherent text across diverse tasks, making it ideal for developers and researchers seeking a capable open-source alternative to proprietary models for applications like content generation, code assistance, and question answering.

A lightweight 4-billion parameter language model optimized for efficient inference on resource-constrained devices, ideal for developers and organizations seeking fast, cost-effective AI capabilities without sacrificing reasonable quality across general-purpose tasks.

This lightweight 0.9B parameter vision-language model excels at optical character recognition and document understanding tasks, making it ideal for developers and businesses seeking efficient on-device or edge deployment of text extraction and layout analysis applications.

This large-scale code generation and software development model excels at complex programming tasks, algorithm design, and technical problem-solving, making it ideal for professional developers, software engineers, and technical teams seeking advanced AI-assisted coding capabilities.

This lightweight 2B parameter language model is ideal for developers and organizations seeking fast, efficient inference for real-time applications, chatbots, and edge deployment where computational resources are limited but reasonable language understanding is still required.

This multimodal vision-language model excels at understanding and generating content from both images and text, making it ideal for developers and researchers building applications requiring visual reasoning, image captioning, visual question answering, and text-to-image generation tasks.

This multimodal AI model excels at understanding and reasoning about images alongside text, making it ideal for developers and enterprises building applications requiring visual question answering, document analysis, and image-to-text tasks at scale.

This image editing model is ideal for developers and creative professionals who need to programmatically perform precise object removal, inpainting, and content-aware editing tasks through an API.

This image editing model is designed for users who need to perform inpainting, outpainting, and object removal tasks by specifying regions to edit while preserving the rest of the image content.

This lightweight text embedding model excels at converting English text into numerical vectors for semantic search, clustering, and similarity tasks with minimal computational overhead, making it ideal for developers and organizations seeking cost-effective embedding solutions for applications with resource constraints or latency requirements.

This lightweight 0.8 billion parameter language model excels at fast, efficient text generation and reasoning tasks for developers and organizations seeking low-latency inference with minimal computational overhead.

This lightweight multimodal embedding model excels at converting images and text into comparable vector representations for retrieval and similarity tasks, making it ideal for developers and organizations seeking efficient image-text search, clustering, and classification with lower computational requirements.

A fast and efficient language model optimized for rapid inference and real-time applications, ideal for developers and teams needing quick responses without sacrificing quality across general-purpose NLP tasks.

I don't have verified information about a model called "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8" in my training data, so I cannot provide a factually accurate description of this specific model without risking misinformation.

Our medium code-agentic model.

Official mistral-ocr-2505 Mistral AI model

A mini transcription model released in July 2025

Our small open-source code-agentic model.

Official pixtral-large-2411 Mistral AI model

Official labs-mistral-small-creative Mistral AI model

Official pixtral-large-2411 Mistral AI model

Official pixtral-large-2411 Mistral AI model

Mistral Small 4.

A large language model with 288K token context designed for enterprise applications requiring complex reasoning, multi-document analysis, and long-form content generation, suitable for organizations needing production-grade performance across customer support, content creation, and knowledge work tasks.

This lightweight Arabic language model with 128K token context is designed for Arabic-speaking developers and organizations seeking efficient performance on Arabic NLP tasks including translation, summarization, and question-answering without requiring extensive computational resources.

Our best multilingual open source model released July 2024.

This compact multimodal model excels at real-time speech transcription and audio processing tasks, making it ideal for developers building cost-effective voice applications, accessibility features, and audio-to-text solutions that require lower latency and reduced computational resources compared to full-scale models.

Official codestral-embed Mistral AI model

Official codestral-embed Mistral AI model

Meta's Llama 3.1 8B served on Groq's LPU for ultra-low latency — ideal for fast, lightweight text tasks.

OpenAI's Whisper Large v3 served on Groq for fast, accurate speech-to-text transcription.

A realtime transcription model released in January 2026